Imagine pulling into a Starbucks drive-thru and seeing not just your drink order but your name on the screen -- along with the suggestions of what foods you might like with your drink, automatically generated by the weather, your buying history, and the choices that others with similar preferences have made. Coming soon to a Starbucks drive-through near you -- and to your smartwatch, and possibly to each store's cash register -- are serving suggestions generated by artificial intelligence. It's all part of the coffee giant's plan to use AI and the cloud to drive sales and growth, as laid out in a 45-minute presentation this month at Starbucks Investor Day in Manhattan. "I hope you're convinced we're continuing to set the bar for digital in brick-and-mortar," said Matt Ryan, Starbucks chief strategy officer, after laying out the company's technology plans. It gives us the advantage we have moving forward." Seattle-based Starbucks is going strong -- growing steadily and last month ...

Or Meaningless New research offers insights into what gives work meaning -- as well as into common management mistakes that can leave employees feeling that their work is meaningless. GE's Big Bet on Data and Analytics This case study focuses on GE's "industrial internet" strategy. Aligning the Organization for Its Digital Future In this report, MIT Sloan Management Review and Deloitte explore how digitally savvy executives are aligning their people, processes, and culture with an eye toward long-term digital success. Data Sharing and Analytics Drive Success with IoT This MIT Sloan Management Review study concluded that obtaining business value from the internet of things depends on companies' willingness to share data with other organizations. Beyond the Hype: The Hard Work Behind Analytics Success This report by MIT Sloan Management Review and SAS found that few companies have a strategic plan for analytics or are executing a strategy for what they hope to achieve with analytics.

Val is powered by Kasisto's KAI Banking bot and "delivers insights into spending, savings, borrowing and helps people set goals as well as offer updates and encouragement about their progress". Varo's target market is millennials, says the vendor, and this segment is "hands on" with their money. "Val's insights are always personal, relevant, timely and actionable," Kasisto states. The bot provides "human-like conversations". "Varo is bringing together this intelligent bot with deposit account, debit card, savings and lending in a single intuitive app. So in addition to insights, Val will also help answer FAQs, provide banking and app support, and assist performing transactions."

How the biggest disruption next year will come from women, not robots. Every year, we make predictions in tech about what we will see more of the following year. Whether it is the increase of virtual reality, chatbots, robots or (can it still possibly be) mobile. One thing is for sure. There aren't many banking on the fact it will be women.

Behavioural change is a very tricky thing. We humans are so fickle. We see a bright shiny wearable device that can track our every move and we think it's our "silver bullet", a "ticket" to achieving our health and fitness dreams. Only for guilt to set in, as after a short time, the wearable device winds up in our top drawer. We knew the fitness data was great, but we really didn't know what to do with it. The truth is, behaviour change requires much more than data.

Data science, advanced machine learning and artificial intelligence will be centre stage technologies shaping business in 2017 and beyond. That's according to analyst firm, Gartner, which predicts that enterprise will see "intelligence everywhere" as new software-based systems, which are programmed to learn and adapt, permeate businesses within the next three to five years. As outlined by Gartner vice president and fellow, David Cearley, these intelligent trends will intertwine to form a'digital mesh', blurring physical and digital workspaces. Artificial intelligence (AI) and advanced machine learning (ML) are intelligent machines that can understand, learn and operate autonomously. "Applied AI and ML give rise to a spectrum of intelligent implementations, including physical devices such as robots, autonomous vehicles and apps and services such as virtual personal assistants and smart advisors," Cearley said.

Imagine pulling into a Starbucks drive-thru and seeing not just your drink order but your name on the screen -- along with the suggestions of what foods you might like with your drink, automatically generated by the weather, your buying history, and the choices that others with similar preferences have made. Coming soon to a Starbucks drive-through near you -- and to your smartwatch, and possibly to each store's cash register -- are serving suggestions generated by artificial intelligence. It's all part of the coffee giant's plan to use AI and the cloud to drive sales and growth, as laid out in a 45-minute presentation this month at Starbucks Investor Day in Manhattan. "I hope you're convinced we're continuing to set the bar for digital in brick-and-mortar," said Matt Ryan, Starbucks chief strategy officer, after laying out the company's technology plans. It gives us the advantage we have moving forward." Seattle-based Starbucks is going strong -- growing steadily and last month ...

The Artificial Intelligence (AI) market is booming, with nearly every major player in the enterprise space vying for a foothold. IBM, Amazon, GE, Microsoft, Google, Cisco, SAP, HPE, Verizon--you name it, anybody and everybody, even folks who used to sell hardware--are actively working on and/or want to stake a claim in a piece of the AI pie. What encompasses the AI market? Machine learning, natural language processing (NLP), voice recognition and image processing, application and geography are what we're looking at, with mobile devices and cloud being the enablers. And just what will the AI market be?

He took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his fourth class project(due at 8th week of the program). Kaggle is the most famous organization dedicated to Data Science competitions, but there are others. One of these is Driven Data. Beyond the difference in visibility, a point of divergence between Kaggle and Driven Data is that the latter's competitions often have a social focus as opposed to the former's usual business leanings.

The study "Future of IT: Hype vs. Reality" revealed that while these emerging technologies have potential in the workplace, IT professionals are grappling with budget and security concerns as they evaluate the impact these technologies can offer today versus in the future. The results show that among emerging technologies covered in the survey, IT professionals in Europe, the Middle East and Africa expect IoT devices and AI technology to have the biggest impact in the workplace, and VR to have the least impact. In fact, 79 percent of IT professionals in the region said IoT devices will be useful to their business practices in three to five years and 55 percent said the same for AI. Although most IT professionals don't expect mass adoption to take off in the workplace for VR and 3D printers, some industries have significantly higher adoption rates than the industry average. "Despite recent innovations in VR and 3D printing, the majority of IT professionals across EMEA are struggling to find viable use cases for the technology in their organisations," said John Webb, general manager of Europe at Spiceworks. "As a result, many can't justify the investment as opposed to AI and IoT that offer tangible benefits for the workplace today.